Azile is a data analytics company that provides solutions for businesses across more than 30 industries. Our services involve integrating, aggregating, and analyzing data from various sources to address the most pressing needs of our clients, both at departmental and enterprise levels. With our expertise, we help businesses make informed decisions by turning raw data into valuable insights that can be used to improve operations, increase efficiency, and drive growth.

• Financial Analytics: Financial analytics involves analyzing financial data to help businesses make informed decisions. It covers a range of activities, such as monitoring company revenue, expenses, and profitability. Financial analysts use various methods to analyze financial performance and formulate long-term business plans. They also help businesses forecast and manage financial risks, and create budgets and conduct profitability analysis. By analyzing financial data, companies can better understand their financial health, identify areas for improvement, and make informed decisions to achieve their goals.

• Customer Analytics: Customer analytics involves analyzing customer data to gain insights into customer behavior and preferences. By segmenting customers, businesses can create tailored sales and marketing campaigns, offer personalized cross-selling and upselling opportunities, and predict customer churn. Conducting customer sentiment analysis can help companies gauge brand perception and make data-driven decisions to improve customer satisfaction. By analyzing customer data, businesses can gain a competitive edge by providing a superior customer experience.
• Sales and Product Analytics: Sales and product analytics involves analyzing sales data to identify sales trends and optimize product performance. By tracking customer interactions with products, businesses can identify pain points leading to churn and make improvements to enhance customer experience. Conducting competitor benchmarking helps businesses develop competitive pricing strategies to increase sales. By analyzing sales data, businesses can optimize their sales channels, identify areas for improvement, and make informed decisions to improve product performance.
• Asset Analytics: Asset analytics involves analyzing data from physical assets to improve their performance, reduce downtime, and increase their lifespan. By monitoring assets in real-time, businesses can develop predictive and preventive maintenance strategies to avoid costly repairs and unexpected downtime. They can also plan asset investments and usage analytics to maximize their return on investment. Developing strategies for asset modernization, replacement, and disposal ensures that businesses stay competitive by utilizing the latest technology and making the most of their resources.

• HR analytics: monitoring and analyzing employee and department performance, employee experience and satisfaction, retention strategy optimization, hiring strategy analysis and optimization, and labor cost analytics.

• Supply chain analytics: identifying demand drivers, forecasting and planning consumer demand, monitoring and evaluating supplier performance, optimizing predictive routes, determining the optimal inventory level, and identifying patterns and trends throughout the supply chain to enhance supply chain risk management.
• Transportation and logistics: optimizing operational capacity based on incoming shipments, customer delivery schedules, vehicle availability, and personnel shift schedules; conducting predictive analytics for vehicle maintenance; forecasting vehicle demand; predicting optimal amounts of fuel needed based on driving patterns; and using IoT data analytics for safe cargo delivery.
• Manufacturing analytics: optimizing overall equipment effectiveness, quality of manufacturing processes, equipment maintenance schedules, power consumption forecasting and optimization, and root cause analysis of production loss.
• Healthcare analytics: monitoring patient health conditions and providing condition-based alerts, optimizing patient treatment, assessing patient risks and providing personalized care plan recommendations, defining trends and patterns in patient condition for proactive care, detecting healthcare insurance fraud, predicting medical staff workload and optimizing work shifts, and optimizing clinical space and equipment usage.

• Retail analytics: analyzing retail business performance, monitoring sales and profitability, conducting demand analysis and forecasting, optimizing multi-echelon inventory, planning and optimizing assortment and merchandising, and providing data-driven recommendations for optimal product promotion activities.

Flexible Service Approaches

• Managed data analysis – Azile’s data analysts collect and process your data to deliver quick one-time or recurrent analytics insights to you.

• Data analytics consulting – Azile’s consultants help you choose an optimal data analytics strategy and guide you on designing, developing, implementing, and improving a proprietary data analytics solution.
• Data analytics implementation – We design and implement an analytics solution with the basic functionality to address your current data analytics needs and scale up as they grow. Your data analytics solution may include such elements as DWH, OLAP cubes, data visualization, data science, big data components, etc.
• Data analytics modernization – Azile helps upgrade the existing data analytics solution to achieve maximum ROI and meet the new data analytics needs.

• Data management services – Azile implements a robust data management framework to organize your processes of data collection, storage, access, security, analysis, etc.

Automation to advanced Data Analytics

Azile offers a wide range of solutions, from automation to advanced data analytics, to help organizations manage and analyze their data. Our solutions cover data integration and data warehousing, big data, data science, self-service BI, and data visualization. Our team of experts helps clients design, implement, and maintain data solutions that meet their specific needs. We provide services such as ETL/ELT design and implementation, data governance implementation, big data infrastructure setup and support, development of machine learning models and AI solutions, self-service BI infrastructure design and implementation, and interactive dashboarding and visualization. With Azile’s solutions, businesses can unlock the potential of their data to gain valuable insights and make informed decisions.

• Data Integration and Data Warehousing: Data integration and warehousing are crucial components for managing large volumes of data. Azile offers ETL or ELT design and implementation to extract, transform, and load data. Data governance is also implemented for data security, quality, and availability, and we design and implement data warehouses and data marts to provide storage and accessibility for the data.
• Big Data: Azile provides big data infrastructure setup and support for businesses that require data management for large datasets. Our big data services include quality and security management, capture, analysis, and reporting.
• Data Science: Azile provides a range of data science services, including data preparation and management, development, and tuning of machine learning models (including deep learning), and data mining models. Our team is capable of designing and implementing AI solutions and developing image analysis software.
• Self-Service BI: Azile offers self-service business intelligence and data analytics infrastructure design and implementation. We also provide ad hoc and scheduled analytics querying and reporting, and natural language user interfaces for data visualization.
• Data Visualization: Interactive dashboarding, custom and pre-built visuals, and multiple visualization techniques such as symbol maps, line charts, bar charts, and pie charts are among the data visualization services provided by Azile.

Those scale projects